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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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103
Voted
ML
1998
ACM
117views Machine Learning» more  ML 1998»
15 years 7 days ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
105
Voted
ATAL
2009
Springer
15 years 7 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
97
Voted
DAS
2010
Springer
15 years 2 months ago
Overlapped text segmentation using Markov random field and aggregation
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, ...
IUI
2005
ACM
15 years 6 months ago
Automated email activity management: an unsupervised learning approach
Many structured activities are managed by email. For instance, a consumer purchasing an item from an e-commerce vendor may receive a message confirming the order, a warning of a ...
Nicholas Kushmerick, Tessa A. Lau
150
Voted
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 3 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich